Efficient enrichment of trace zearalenone (ZEN) from the complex traditional Chinese medicine (TCM) samples is quite difficult, but of great significance for TCM quality control. Herein, we reported a novel magnetic solid phase extraction (MSPE) strategy for ZEN enrichment using the amino- and hydroxyl dual-functionalized magnetic microporous organic network (FeO@MON-NH-OH) as an advanced adsorbent combined with the high-performance liquid chromatography (HPLC) determination. Efficient extraction of ZEN was achieved via the possible hydrogen bonding, hydrophobic, and π-π interactions between FeO@MON-NH-OH and ZEN. The adsorption capacity of FeO@MON-NH-OH for ZEN was 215.0 mg g at the room temperature, which was much higher than most of the reported adsorbents. Under the optimal condition, the developed FeO@MON-NH-OH-MSPE-HPLC method exhibited wide linear range (5-2500 μg L), low limits of detection (1.4-35 μg L), less adsorbent consumption (5 mg), and large enhancement factor (95) for ZEN. The proposed method was successfully applied to detect trace ZEN from 10 kinds of real TCM samples. Conclusively, this work demonstrates the FeO@MON-NH-OH can effectively extract trace ZEN from the complex TCM matrices, which may open up a new way for the application of MONs in the enrichment and extraction of trace contaminants or active constituents from the complex TCM samples.
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http://dx.doi.org/10.1016/j.chroma.2024.464915 | DOI Listing |
Adv Sci (Weinh)
January 2025
Department of Molecular Pharmacology, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute & Hospital, Tianjin, 300060, China.
Efficient virtual screening methods can expedite drug discovery and facilitate the development of innovative therapeutics. This study presents a novel transfer learning model based on network target theory, integrating deep learning techniques with diverse biological molecular networks to predict drug-disease interactions. By incorporating network techniques that leverage vast existing knowledge, the approach enables the extraction of more precise and informative drug features, resulting in the identification of 88,161 drug-disease interactions involving 7,940 drugs and 2,986 diseases.
View Article and Find Full Text PDFEval Health Prof
January 2025
Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, China.
Innovation in healthcare is crucial for enhancing patient care and operational efficiency. Nurses often experience stress that may impede the process of innovation. This study utilizes the Job Demands-Resources model and Cognitive Appraisal Theory to investigate the impact of challenge stress, work rumination, and information literacy on the expression of innovative behaviors among nurses.
View Article and Find Full Text PDFPeerJ
January 2025
Guangxi Key Laboratory of Efficacy Study on Chinese Materia Medica, Nanning, Guangxi, China.
Background: var. is a variety in the section of the genus of the family Theaceae which is native to Fangchenggang, Guangxi, China. To date, the genetic diversity and structure of this variety remains to be understood.
View Article and Find Full Text PDFJMIR Public Health Surveill
January 2025
Institute of Infectious Disease and Vaccine, School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China.
Background: Achieving high vaccine coverage among clinicians is crucial to curb the spread of influenza. Traditional Chinese medicine (TCM), rooted in cultural symbols and concepts without direct parallels in modern Western medicine, may influence perspectives on vaccination. Therefore, understanding the preferences of TCM clinicians towards influenza vaccines is of great importance.
View Article and Find Full Text PDFBiosensors (Basel)
January 2025
Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, Okayama 700-8530, Japan.
In this study, we utilized a terahertz chemical microscope (TCM) to map surface potential changes induced by molecular interactions on silicon-on-sapphire (SOS) substrates. By functionalizing the SOS substrate with DNA aptamers and an ion-selective membrane, we successfully detected and visualized aptamer-neurochemical complexes through the terahertz amplitude. Additionally, comparative studies of DNA aptamers in PBS buffer and artificial cerebrospinal fluid (aCSF) were performed by computational structure modeling and terahertz measurements.
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